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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 1-RES-JB
    11. 3677
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    Explanations

    numeric values

    oai_token-act-pair · gpt-3.5-turbo

    references to competitive events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hetics
    -0.80
    unctions
    -0.80
    iciency
    -0.79
    aning
    -0.79
    hesis
    -0.73
    alysed
    -0.71
    ggle
    -0.70
    aned
    -0.70
    ocating
    -0.69
    isters
    -0.69
    POSITIVE LOGITS
    Dri
    0.81
     Dri
    0.80
    stab
    0.69
    Mir
    0.67
    Effective
    0.67
    City
    0.67
    Cu
    0.65
    æĺ
    0.65
    Building
    0.65
    SPONSORED
    0.65
    Activations Density 0.000%

    No Known Activations